論文

2019年3月

Determination of Abundances of Fifty-Two Elements in Natural Waters by ICP-MS with Freeze-Drying Pre-concentration

GEOSTANDARDS AND GEOANALYTICAL RESEARCH
  • Que D. Hoang
  • ,
  • Tak Kunihiro
  • ,
  • Chie Sakaguchi
  • ,
  • Masahiro Yamanaka
  • ,
  • Hiroshi Kitagawa
  • ,
  • Eizo Nakamura

43
1
開始ページ
147
終了ページ
161
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/ggr.12245
出版者・発行元
WILEY

To precisely determine the abundances of fifty-two elements found within natural water samples, with mass fractions down to fg g(-1) level, we have developed a method which combines freeze-drying pre-concentration (FDC) and isotope dilution internal standardisation (ID-IS). By sublimation of H2O, the sample solution was reduced to < 1/50 of the original volume. To determine element abundance with accuracy better than 10%, we found that for solutions being analysed by mass spectrometry the HNO3 concentration should be > 0.3 mol l(-1) to avoid hydrolysis. Matrix-affected signal suppression was not significant for the solutions with NaCl concentrations lower than 0.2 and 0.1 cg g(-1) for quadrupole ICP-MS and sector field ICP-MS, respectively. The recovery yields of elements after FDC were 97-105%. The detection limits for the sample solutions prepared by FDC were <= 10 pg g(-1), except for Na, K and Ca. Blanks prepared using FDC were at pg-levels, except for eleven elements (Na, Mg, Al, P, Ca, Mn, Fe, Co, Ni, Cu and Zn). The abundances of fifty-two elements in bottled drinking water were determined from five different geological sources with mass fractions ranging from the fg g(-1) to mu g g(-1) level with high accuracy.

リンク情報
DOI
https://doi.org/10.1111/ggr.12245
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000458275600009&DestApp=WOS_CPL
URL
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ggr.12245
URL
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ggr.12245
ID情報
  • DOI : 10.1111/ggr.12245
  • ISSN : 1639-4488
  • eISSN : 1751-908X
  • Web of Science ID : WOS:000458275600009

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